Fieldwire AI was founded by John Scarborough — a technology leader with over 30 years spent engineering data optimization and process across every side of a business: finance, operations, marketing, and IT, not just the systems underneath them. He currently serves as Advisor & Technology Director at CarbonEnfo, Inc. and President of GrownOriginal LLC. Fieldwire AI applies that same cross-functional discipline to the businesses that run on trucks, technicians, and tight schedules — because an agent that only understands the tech stack, and not the P&L or the dispatch board, isn't actually useful.
Every build starts from a specific workflow leak, not a wishlist. If it won't pay for itself, we'll say so.
We design around how trades businesses actually work — trucks, techs, dispatch, and customers who call at 9pm.
The monthly plan means we're accountable for how the agent performs after launch, not just at handoff.
Automation built with an understanding of finance, operations, and marketing — not just the tech stack — so it actually moves numbers that matter to the owner.
Experienced information and technology professional with a demonstrated history of growth and success across IT strategy, information security, data center operations, application development, and data science & analytics. Degrees from the Georgia Institute of Technology and Georgia State University.
Across a 30-year career, the throughline has been the same: engineering data optimization and process improvement for the whole business, not just its systems — finance, operations, and marketing included. That work now shows up in two forms: hands-on consulting engagements, and the automation platforms built to make the fix permanent.
Decades spent as the outside (and sometimes fractional in-house) technology voice for growing businesses — advising leadership on IT strategy, security posture, and where a process is costing more than it's worth. That means sitting in the room for pricing decisions, partnership deals, and product launches, not just architecture reviews. The goal has always been the same: make the recommendation the business can actually act on, not the one that only makes sense on a whiteboard.
Hands-on delivery of the analytics, data pipeline, and automation systems that make a recommendation stick — end-to-end data collection, data mapping, and workflow automation; cloud and on-premise architecture migrations; and the resiliency, security, and monitoring layered around all of it. Most recently, this has extended into blockchain-based systems — smart contract design, tokenization, and the integrations connecting them to real-world business data.
Technology recommendations that hold up in a P&L review, not just an architecture diagram — pricing and product scoping, vendor and contract negotiation, and the operational discipline (data center migrations, service delivery, security) to actually run what gets built.
Technology work that shows up in revenue, not just uptime — supporting sales and partnership efforts, scoping new products and services, and building the systems that make a launch measurable instead of a guess.
"I'd gladly work with John again on projects large or small. He's cool headed, logical, hard working and fair. I've seen him sort out complex problems with grace and manage clients and coworkers with good spirit and humor." — Chris Kearney
No pitch deck, no pressure — just a conversation about where AI would actually help.